How to Set Reasonable Prices for Vegetable Products? A Comprehensive Model Study Based on Multiple Algorithms

Wenxuan Du; Yuzan Zuo

doi:10.54097/hset.v70i.13897

Authors

Wenxuan Du
Yuzan Zuo

DOI:

https://doi.org/10.54097/hset.v70i.13897

Keywords:

Association Rules; Gaussian Process Regression; Simulated Annealing; Regression Trees.

Abstract

Due to the characteristics of a wide variety of vegetables, short shelf life, and early procurement, the formulation of vegetable category management strategies has always been a challenge for fresh supermarkets. This paper investigates the relationship between vegetable categories, individual product sales, and cost-based pricing. It formulates optimal replenishment and pricing strategies for vegetable categories and individual products in fresh supermarkets based on algorithms such as Gaussian Process Regression (GPR), simulated annealing, and regression trees. It also carefully considers the potential costs at various stages of the sales process in fresh supermarkets, making the model more applicable to real operational environments. This provides strong support for the formulation of replenishment and pricing strategies in category management for fresh supermarkets.

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